https://github.com/cg1507/quickcnn

QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.

bottleneck-features cnn-training convolutional-neural-network deep-learning fine-tuning-cnns google-colaboratory image-classification keras sklearn-library tensorboard tensorflow transfer-learning

Last synced: 16 Feb 2025